Altair RapidMiner vs SAP Analytics Cloud comparison

Altair and SAP are both solutions in the Predictive Analytics category. Altair is ranked #4 with an average rating of 8.3, while SAP is ranked #2 with an average rating of 8.1. Altair holds a 6.6% mindshare in PA, compared to SAP’s 6.7% mindshare. Additionally, 96% of Altair users are willing to recommend the solution, compared to 92% of SAP users who would recommend it.

Altair RapidMiner

Read 24 Altair RapidMiner reviews

4,558 Views
638 Comparison Views

96% willing to recommend

SAP Analytics Cloud

Read 72 SAP Analytics Cloud reviews

6,480 Views
778 Comparison Views

92% willing to recommend

Altair RapidMiner

SAP Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 21, 2025

Altair RapidMiner and SAP Analytics Cloud are competing in the data analytics space. SAP Analytics Cloud is perceived as superior due to its extensive features, which users feel justifies its cost.

Features: Altair RapidMiner boasts an intuitive drag-and-drop interface, comprehensive machine-learning algorithms, and robust data visualization capabilities. SAP Analytics Cloud offers advanced analytics features such as predictive analytics, planning capabilities, and seamless integration with SAP's ecosystem, providing a comprehensive analytics suite.

Room for Improvement: Altair RapidMiner could enhance its generative AI adaptation, broaden its API integration capabilities, and expand its community support for model adjustments. SAP Analytics Cloud can improve its reliance on online support channels, optimize the effectiveness of its onboarding process, and enhance real-time analytics capabilities.

Ease of Deployment and Customer Service: Altair RapidMiner offers flexible deployment with on-premises and cloud options, complemented by responsive customer service. SAP Analytics Cloud is cloud-native, simplifying deployment but heavily reliant on online support channels. Altair RapidMiner's customer service is often praised for its effectiveness and speed.

Pricing and ROI: Altair RapidMiner's lower initial setup costs make it attractive for small to medium enterprises seeking rapid ROI. SAP Analytics Cloud involves a higher setup cost, yet its comprehensive feature set potentially leads to better ROI through enhanced data-driven decision-making for larger organizations.

To learn more, read our detailed Altair RapidMiner vs. SAP Analytics Cloud Report (Updated: March 2026).

Buyer's Guide

Altair RapidMiner vs. SAP Analytics Cloud

March 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Altair RapidMiner

Ranking in Predictive Analytics

4th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Science Platforms (8th)

SAP Analytics Cloud

Ranking in Predictive Analytics

2nd

Average Rating

8.0

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (5th)

Mindshare comparison

As of March 2026, in the Predictive Analytics category, the mindshare of Altair RapidMiner is 6.6%, down from 16.5% compared to the previous year. The mindshare of SAP Analytics Cloud is 6.7%, down from 15.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Predictive Analytics Mindshare Distribution
Product	Mindshare (%)
SAP Analytics Cloud	6.7%
Altair RapidMiner	6.6%
Other	86.7%

Predictive Analytics

Featured Reviews

VictorSantos

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

Utilize intuitive CRISP model support and predictive analytics features for effective data analysis

Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding. The tool’s auto model feature is excellent as it allows simulation of models to select the best one. It is useful for predictive analytics with community support for model adjustments. I also find handling complex datasets promising, although there's a need for improvement with generative AI adaptation.

Read full review

Pavlina Pankova

Competence Leader - BI at Sabris CZ s.r.o.

Brings reporting, planning, and prediction together in one seamless workflow

I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"One of the most valuable features is the built-in data tuning feature. Once the model is built, we often struggle to increase its accuracy, but RapidMiner allows us to fine-tune variables. For Example, when working on a project, we can adjust the number of nodes or the depth of trees to see how accuracy changes. This flexibility lets us achieve higher accuracy compared to traditional automated machine-learning models"

"The most valuable features are the Binary classification and Auto Model."

"The data science, collaboration, and IDN are very, very strong."

"The most valuable feature is what the product sets out to do, which is extracting information and data."

"RapidMiner for Windows is an excellent graphical tool for data science."

"It is easy to use and has a huge community that I can rely on for help. Moreover, it is interactive."

"It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry."

"The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

More Altair RapidMiner pros

"SAP is very scalable."

"We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues."

"I like the predictive features of SAP. It's easy to use tools for an end-user."

"The most valuable features of SAP Analytics Cloud are its native integration with SAP data and the ability to leverage SAP artifacts."

"The most valuable feature of the tool is machine learning."

"One of the most outstanding features is being able to use the dashboard with a touch screen."

"Technical support is helpful."

"It's so user-friendly."

More SAP Analytics Cloud pros

Cons

"Altair RapidMiner needs updates to its examples, particularly in business and marketing areas, and to the tool itself. The user interface should be improved."

"In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner."

"I would like to see all users have access to all of the deep learning models, and that they can be used easily."

"It would be helpful to have some tutorials on communicating with Python."

"In the Mexican or Latin American market, it's kind of pricey."

"RapidMiner isn't cheap. It's a complete solution, but it's costly."

"The product must provide data-cleaning features."

"The biggest problem, not from a platform process, but from an avoidance process, is when you work in a heavily regulated environment, like banking and finance. Whenever you make a decision or there is an output, you need to bill it as an avoidance to the investigator or to the bank audit team. If you made decisions within this machine learning model, you need to explain why you did so. It would better if you could explain your decision in terms of delivery. However, this is an issue with all ML platforms. Many companies are working heavily in this area to help figure out how to make it more explainable to the business team or the regulator."

More Altair RapidMiner cons

"There is no direct connector from SAP to Redshift, so we are required to use a third-party product that was recommended by SAP."

"It should have the flexibility for scoping the story and models. When you use it in a three-layer architecture, you struggle with the fact that you usually have just one SAP Analytics Cloud tenant, and you have to switch the connections, which might be an issue for bigger developments. For the development role, there should be an option to switch between development and production scenarios."

"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."

"It still lacks a lot of functionalities as compared to other tools such as Power BI or Tableau. Sorting is not working as well as it works in Tableau. A lot of other things are also not at the same level. Their technical support is not perfect and could be better. It takes a lot of time to have lacking functionalities implemented. Its integration with the BW backend should be better. Both solutions are from the same vendor. They position SAP Analytics Cloud as a reporting tool on top of the BW environment, but the integration between both is not yet 100%. For example, user management is still not synchronized."

"Some of the standard visualizations, such as a speedometer or a goal chart, are not there and should be added."

"What should be improved in SAP Analytics Cloud is the speed of importing information and data, e.g. from SAP S/4HANA. Gathering the data from the main database takes a bit of time."

"An additional feature that needs to be added to SAP Analytics Cloud is exporting because right now, you can only export to PDF and PowerPoint. It would be good to have multiple export options, for example, to Excel and other apps. Pricing is an area for improvement in SAP Analytics Cloud, apart from exporting."

"SAP could add more templates to the platform."

More SAP Analytics Cloud cons

Pricing and Cost Advice

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"For the university, the cost of the solution is free for the students and teachers."

"I used an educational license for this solution, which is available free of charge."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower."

"The platform is about 50% more expensive than Power BI."

"Its pricing is okay as compared to its competitors."

"SAP Analytics Cloud can be quite expensive."

"The tool's pricing is medium, and licensing costs are yearly."

"SAP Analytics Cloud is expensive. The price is a big issue if you compare it with other solutions from different vendors."

"SAP pricing tends to be premium, so it is slightly higher."

"The pricing of this product is reasonable."

More SAP Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

University

11%

Manufacturing Company

11%

Computer Software Company

10%

Educational Organization

Manufacturing Company

18%

Financial Services Firm

Retailer

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	13
Large Enterprise	39

Questions from the Community

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the dat...

See all answers

What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

See all answers

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning. It would be beneficial if the platform co...

See all answers

Which would you choose - Tableau or SAP Analytics Cloud?

Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...

See all answers

What do you like most about SAP Analytics Cloud?

In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.

See all answers

What is your experience regarding pricing and costs for SAP Analytics Cloud?

I normally do not deal with the commercials, so I am not aware of the pricing part of it.

See all answers

Comparisons

KNIME Business Hub vs Altair RapidMiner

Compared 22% of the time

Dataiku vs Altair RapidMiner

Compared 9% of the time

Databricks vs Altair RapidMiner

Compared 6% of the time

Alteryx vs Altair RapidMiner

Compared 5% of the time

Tableau Enterprise vs Altair RapidMiner

Compared 4% of the time

More Altair RapidMiner Competitors

SAP BusinessObjects Business Intelligence Platform vs SAP Analytics Cloud

Compared 34% of the time

Anaplan vs SAP Analytics Cloud

Compared 8% of the time

Microsoft Power BI vs SAP Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs SAP Analytics Cloud

Compared 7% of the time

IBM Planning Analytics vs SAP Analytics Cloud

Compared 6% of the time

More SAP Analytics Cloud Competitors

Product Reports

Buyer's Guide

Altair RapidMiner

March 2026

Download Altair RapidMiner product report

Buyer's Guide

SAP Analytics Cloud

February 2026

Download SAP Analytics Cloud product report

Also Known As

No data available

SAP BusinessObjects Cloud

Overview

Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.

Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.

What are the key features of Altair RapidMiner?

Code-Free Interface: Simplifies data science with GUI support.
Drag-and-Drop Functionality: Streamlines process setup.
Automated Data Cleaning: Saves time in data preparation.
Machine Learning Algorithms: Supports a wide range for various tasks.
API & Python/R Integration: Enhances flexibility for data projects.
Tutorials & Documentation: Provides robust learning resources.

What benefits and ROI can users expect?

Efficiency: Reduces time spent on data processing.
Flexibility: Offers adaptable integration options.
Scalability: Suited for both educational and business environments.
Usability: User-friendly interface encourages wider adoption.
Predictive Capabilities: Empowers advanced business analytics.

Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.

Altair

SAP Analytics Cloud is an all-in-one Software-as-a-Service business intelligence tool that provides the key functionalities of an analytics tool to SAP business users. This tool is built on HANA Business Intelligence (BI) platform, providing analytics from data collected from multiple sources, such as ERP, Microsoft SQL, and Salesforce, among other solutions.

You can use SAP Analytics Cloud to compile data and perform ad-hoc reporting and analysis for predictive planning. SAP Analytics Cloud collects and analyzes the raw data from transactional systems into intelligent insights that allow you to make better decisions.

SAP Analytics Cloud uses machine learning to clean up data, identify errors, and issues, and suggest optimization or filtering options. You can use the modeling feature in Analytics Cloud to create hierarchies and get deeper data insights.

The three core functions of SAP Analytics Cloud consist of Planning, Predictive Analysis, and Business Intelligence as a holistic SaaS solution that offers real-time analysis to business leaders.

SAP Analytics Cloud Capabilities

Data discovery
Machine learning
Integrated financial and business planning
Predictive analysis
Automated data cleansing
Custom widgets
Mobile extension
Role-based customization
Data exploration and visualization

SAP Analytics Cloud Key Features

Augmented analytics: SAP Analytics Cloud allows organizations to make the most of AI (Artificial Intelligence)-powered analytics through augmented analytics. It includes a Search to Insight feature that enables users not skilled or experienced in data science to access and use the platform.

These smart insight tools allow organizations to visualize business data without manual intervention. By combining multiple machine learning algorithms, SAP Analytics Cloud automates predictive analysis so that organizations can have significant insight into secured data.

Enterprise planning: As SAP Analytics Cloud is an all-in-one financial planning and analysis solution, organizations can use it to align strategies across all departments. It allows end-to-end, data-driven planning decisions via financial modeling, allocations, smart insights, and automated reporting.

The Zero-based budgeting feature allows for an effective resources allocation with built-in collaboration tools. The finance team can collaborate easily, create budget templates and make accurate decisions.

SAP Analytics Cloud Benefits

Real-time cloud insights: SAP Analytics Cloud makes it easy for users at every level to generate instant insights and improve data-driven decision-making. With SAP Analytics Cloud, you can have immediate and central access to all figures, diagrams, insights, and evaluations for every employee on every device and updated in real time.
Customizable dashboard: You can customize your dashboard according to your requirements. This customization means you can easily access all the relevant data on a single pane of vision tailored to your business.
Collaborative planning: As an all-in-one platform, SAP Analytics Cloud integrates the multiple aspects of a business into a single solution, including finance, HR, sales, and supply chain management.
Data on any device: You can integrate SAP Analytics Cloud with SAP S/4 HANA and deploy insights to Android and iOS devices. The SAP S/4 HANA integration also enables the rolling out of changes to multiple files and devices from a central location, so you can carry your business operations on the go over a secured cloud network.
In-memory technology: Since it is based on SAP HANA in-memory technology, SAP Analytics Cloud can process massive amounts of data in a short time.

Reviews from Real Users

Segun O., SAP HANA Developer at SOA PEOPLE, says that "The most valuable features are on the application side, where you can design applications into your analytics on the platform."

The Head of Finance Enterprise Application at a computer software company adds that "The visualization feature is the most valuable. SAP Analytics Cloud is also very easy to use."

"Its many features make it the best in the market," sums up a Consultor SAP Business Object, Sap Analytics Cloud at a tech services company.

SAP

Sample Customers

PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen

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Buyer's Guide

Altair RapidMiner vs. SAP Analytics Cloud

March 2026

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